Proposal of a model to measure competitiveness through factor analysis

Juan José García Ochoa; Juan de Dios León Lara; José Pablo Nuño de la Parra

doi:10.1016/j.cya.2017.04.003

Proposal of a model to measure competitiveness through factor analysis

Juan José García Ochoa, Juan de Dios León Lara, José Pablo Nuño de la Parra

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9 Scopus citations

Abstract

This article presents a proposal of a model to measure competitiveness at the three geographical levels simultaneously: country, states, and municipalities by using a multivariate factor analysis resulting in the identification of five factors, seven subfactors and thirty variables used to measure and to present the results of an empirical study of several entities: the country, the state of Sonora and nine municipalities that represent 80% of the population and 80% of its Total Gross Production (PBT). The results show that the municipality of Hermosillo was the most competitive in 2010.

Translated title of the contribution	Propuesta de un modelo de medición de la competitividad mediante análisis factorial
Original language	English
Pages (from-to)	775-791
Number of pages	17
Journal	Contaduria y Administracion
Volume	62
Issue number	3
DOIs	https://doi.org/10.1016/j.cya.2017.04.003
State	Published - Jul 2017

Bibliographical note

Publisher Copyright:
© 2017 Universidad Nacional Autónoma de México, Facultad de Contaduría y Administración

Keywords

Characterization of competitiveness
Competitiveness index
Competitiveness models
Determinants of competitiveness

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10.1016/j.cya.2017.04.003

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title = "Proposal of a model to measure competitiveness through factor analysis",

abstract = "This article presents a proposal of a model to measure competitiveness at the three geographical levels simultaneously: country, states, and municipalities by using a multivariate factor analysis resulting in the identification of five factors, seven subfactors and thirty variables used to measure and to present the results of an empirical study of several entities: the country, the state of Sonora and nine municipalities that represent 80% of the population and 80% of its Total Gross Production (PBT). The results show that the municipality of Hermosillo was the most competitive in 2010.",

keywords = "Characterization of competitiveness, Competitiveness index, Competitiveness models, Determinants of competitiveness",

author = "{Garc{\'i}a Ochoa}, {Juan Jos{\'e}} and {Le{\'o}n Lara}, {Juan de Dios} and {Nu{\~n}o de la Parra}, {Jos{\'e} Pablo}",

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AU - García Ochoa, Juan José

AU - León Lara, Juan de Dios

AU - Nuño de la Parra, José Pablo

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Y1 - 2017/7

N2 - This article presents a proposal of a model to measure competitiveness at the three geographical levels simultaneously: country, states, and municipalities by using a multivariate factor analysis resulting in the identification of five factors, seven subfactors and thirty variables used to measure and to present the results of an empirical study of several entities: the country, the state of Sonora and nine municipalities that represent 80% of the population and 80% of its Total Gross Production (PBT). The results show that the municipality of Hermosillo was the most competitive in 2010.

AB - This article presents a proposal of a model to measure competitiveness at the three geographical levels simultaneously: country, states, and municipalities by using a multivariate factor analysis resulting in the identification of five factors, seven subfactors and thirty variables used to measure and to present the results of an empirical study of several entities: the country, the state of Sonora and nine municipalities that represent 80% of the population and 80% of its Total Gross Production (PBT). The results show that the municipality of Hermosillo was the most competitive in 2010.

KW - Characterization of competitiveness

KW - Competitiveness index

KW - Competitiveness models

KW - Determinants of competitiveness

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DO - 10.1016/j.cya.2017.04.003

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JO - Contaduria y Administracion

JF - Contaduria y Administracion

IS - 3

ER -

Proposal of a model to measure competitiveness through factor analysis

Abstract

Bibliographical note

Keywords

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